Harmonic

Rating:
5/5
Harmonic is a premier software engineering firm that is a leader in the development of cutting-edge technology for the public and private sectors. By leveraging the most cutting-edge technologies, the company broadens the realm of possibility to develop complex, sophisticated solutions that deliver innovative, high-performing outcomes. Harmonic specializes in custom application development and IT solutions, emphasizing code quality, scalability, and performance to continually bring the most reliable and efficient services to customers. Our development process is based on an agile methodology, allowing us to respond quickly to our customer’s requirements and ensure that the final product meets their needs efficiently. In addition to this, we focus on staying up to date with the newest development tools, frameworks, and technologies in order to keep abreast of the ever-evolving landscape of software engineering. We are always striving to develop reliable, secure, and cost-effective solutions for our clients. At Harmonic, our team is comprised of a diverse set of talented technology professionals that are passionate about pushing the boundaries of innovation. We are passionate about technology, we value our employees, and we strive for quality outcomes in everything that we do. Overall, our goal is to provide a premier experience for both our clients and our employees. Our commitment to technical excellence and total customer satisfaction make Harmonic the ideal partner for any software engineering project. We look forward to welcoming technology professionals who are excited to join our team and help us deliver the best possible solutions to our customers.

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Data Scientist

Average Work Hours (weekly unless noted): 40
Average Salary (yearly in dollars unless noted): 115000
Description: Data Scientists at Harmonic leverage large datasets to identify patterns and relationships to help move the business forward. As a Data Scientist, you are responsible for merging data from multiple sources, testing hypotheses, engineering features, and building predictive models to effectively evaluate and make decisions. As the “face of data science”, you will be a key contributor in many aspects of the business, so strong communication skills and the ability to explain complex concepts to cross-functional teams are essential.
Qualifications / Requirements: Masters or Doctoral degree in quantitative discipline required, along with 3+ years of applied data science experience. Excellent analytical, technical and problem-solving skills are essential. Proven ability to develop strategies for leveraging large datasets for accurate predictions and viable solutions.
Locations: Toronto, Beijing, Seoul, Singapore, Tokyo, Hong Kong, Shenzhen, London
Career Paths: Field Service Engineer, Network Systems Engineer, Project Manager, System Architect, Software Developer, Network Analyst, DevOps Engineer, Quality Assurance Engineer, Technical Support Specialist, Video Network Engineer.
Job Contacts: jobs@harmonicinc.com

Recent Reviews

Charles T.
4.9/5
4.9
Working with Harmonic has been a great experience since I joined the IT department a couple of years ago. Everyone is friendly and generous with their time and will go out of their way to help department members. The team atmosphere is very collaborative and everyone is always looking for new and creative ways to solve customer and technical issues. The tools and platforms we use are top of the line and keep us ahead of our competitors. I highly recommend this company to anyone looking for a fast-paced environment to display their technical prowess.

Frequently Asked Questions

What is a typical day like for a Support Engineer at Harmonic?
A typical day as a Support Engineer includes responding to technical inquiries, answering customer questions, troubleshooting customer issues, developing solutions for engineering problems and providing technical guidance.
What qualifications do I need to become a Software Developer at Harmonic?
For software developers, Harmonic looks for candidates with a degree in engineering, computer science, or a related field. Candidates must also have experience developing enterprise software in a variety of programming languages and frameworks such as Java, C++, .NET, and Node.js.